Update README.md

README.md

@@ -62,13 +62,11 @@ license: cc-by-4.0
 ## Dataset
 The dataset is made up of consumer reviews written in Polish. Those reviews belong to four domains: hotels, medicine, products, and university. This collection also contains non-opinion informative texts belonging to the same domains (meaning they are mostly neutral). Each sentence, as well as all the reviews as a whole, are annotated with emotions from the Plutchnik's wheel of emotions (joy, trust, anticipation, surprise, fear, sadness, disgust, anger), as well as the perceived sentiment (positive, negative, neutral), with ambivalent sentiment being labeled using both positive and negative labels. The dataset was annotated by six people who did not see each other's decisions. These annotations were aggregated by selecting labels annotated by at least 2 out of 6 people, meaning controversial texts and sentences can be annotated with opposing emotions. While each sentence has its own annotation, they were created in the context of the whole review.
 
-For more information about this dataset, see the article in the Citation Information section.
+For more information about this dataset, see the articles in the Citation Information section.
 
-### Training set
+### Dataset split set
 Training data consists of 776 reviews containing 6393 sentences randomly selected from the whole dataset. The split was done on the level of whole reviews, meaning no reviews are split between sets.
-
-### Test sets
-Two test sets contain 167 reviews, each containing 1234 and 1264 sentence annotations.
+The validaion set continas 167 reviews and 1234 sentence annotations. The test set contains 167 reviews and 1264 sentence annotations.
 
 ### Dataset format
 The datasets are stored in three directories (training and two test sets). All datasets have the same format.